MobiGroup: Enabling Lifecycle Support to Social Activity Organization and Suggestion with Mobile Crowd Sensing

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.This paper presents a group-aware mobile crowd sensing system called MobiGroup, which supports group activity organization in real-world settings. Acknowledging the complexity and diversity of group activities, this paper introduces a formal concept model to characterize group activities and classifies them into four organizational stages. We then present an intelligent approach to support group activity preparation, including a heuristic rule-based mechanism for advertising public activity and a context-based method for private group formation. In addition, we leverage features extracted from both online and offline communities to recommend ongoing events to attendees with different needs. Compared with the baseline method, people preferred public activities suggested by our heuristic rule-based method. Using a dataset collected from 45 participants, we found that the context-based approach for private group formation can attain a precision and recall of over 80%, and the usage of spatial-temporal contexts and group computing can have more than a 30% performance improvement over considering the interaction frequency between a user and related groups. A case study revealed that, by extracting the features such as dynamic intimacy and static intimacy, our cross-community approach for ongoing event recommendation can meet different user needs

OWL-Based Context-Dependent Task Modeling and Deducing

Abstrac

Comprehensive evaluation of the intelligence levels for unmanned swarms based on the collective OODA loop and group extension cloud model

Considering the increasing complexity of application scenarios, the evaluation of the intelligence levels for unmanned swarms has attracted scholarly attention. However, the existing evaluation studies cannot suitably reflect the intelligence of unmanned swarms, and they rarely provide a specific evaluation process. By introducing the collective intelligent behavior model for unmanned swarms based on the collective Observe–Orient–Decide–Act (OODA) loop, this study constructs a comprehensive evaluation index system that can systematically reflect the overall intelligence of unmanned swarms in complex scenarios. Considering the fuzziness and randomness in the processes of weight calculation and level evaluation, this study proposes a comprehensive evaluation method of the intelligence levels for unmanned swarms based on a group extension cloud model. This method calculates the weights of various evaluation indexes at different layers by adopting the group extension analytic hierarchy process. Moreover, it obtains the comprehensive evaluation conclusion of the intelligence levels for unmanned swarms by adopting the cloud model. Applying the proposed method, this study evaluates two specific types of unmanned aerial vehicle swarms. The results show that the proposed method can more flexibly and accurately evaluate the intelligence levels of unmanned swarms than the previous fully qualitative methods

A Service-Oriented Platform for Ubiquitous Personalized Multimedia Provisioning

As multimedia contents are becoming widely used in ubiquitous computing environments among many application fields, e.g., education, entertainment, and live surveillance, the demand of personalized access to these contents has increased dramatically. The provisioning of ubiquitous personalized multimedia services (UPMSs) is a challenging task, which involves a lot of heterogeneous entities ranging from objects, devices to software. In this work, we propose a three-layer software platform, called UPmP to support efficient development and deployment of UPMSs. It fulfills the core functionalities for ubiquitous personalized multimedia provisioning including service management, multimedia recommendation, adaptation, and delivery. We adopt service-oriented approach in building the platform. The enabling technologies such as component representation, service lifecycle management, platform configuration, and service composition are described in detail. The experimental results show that the UPmP is flexible to be configured under different settings

A dynamic community creation mechanism in opportunistic mobile social networks

International audienceWeb-based social networking services enable like-minded people to collaborate and socialize with each other. With rich sensing and communication capabilities, mobile phones provide new possibilities for enhancing face-to-face social interaction among people who are both socially and physically close to each other. Research challenges arise as how to exploit the characteristics of people's mobility patterns and form a social community with a specific goal in the mobile environment. In this paper, we present SOCKER - a dynamic community creation mechanism based on social-aware broker selection strategies. SOCKER gradually forms a mobile social community by dynamically selecting a broker during each opportunistic encounter, and the selected broker disseminates community creation requests to the encountered users for match-making. Based on real human mobility traces, extensive evaluations are conducted showing that SOCKER achieves high community completion ratio as well as high user social satisfaction, while incurring a small overhea

Managing elders' wandering behavior using sensors-based solutions: A survey

Open Access articleWandering is one of the most frequent, problematic, and injurious behaviors of elderly people with dementia. It often leads to negative consequences such as falling and getting lost. With increasing proliferation of sensing, communication, and computing techniques, inexpensive technological solutions have been developed to tackle problems associated with wandering. In this article, we review field research and technological solutions on wandering in the context of assisted living for the elderly. Specifically, we present the most cited definition and classification for wandering proposed in wandering behavior research. We further examine existing solutions for managing wandering in terms of our proposed categorization of wandering research, namely event monitoring-based wandering discovery, trajectory tracking-based wandering detection, and location combined with Geofence-based prevention of wandering-related adverse results. Based on the definition, categorization, and the state of the art, we discuss the major research challenges and future directions in detecting wandering locomotion in different settings. To the best of our knowledge, this is the first survey on wandering and technological solutions in this niche area of ambient assisted living